Global Patent Index - EP 4109392 A4

EP 4109392 A4 20240103 - IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE

Title (en)

IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE

Title (de)

BILDVERARBEITUNGSVERFAHREN UND BILDVERARBEITUNGSVORRICHTUNG

Title (fr)

PROCÉDÉ DE TRAITEMENT D'IMAGE ET DISPOSITIF DE TRAITEMENT D'IMAGE

Publication

EP 4109392 A4 20240103 (EN)

Application

EP 20920655 A 20200831

Priority

  • CN 202010107896 A 20200221
  • CN 2020112619 W 20200831

Abstract (en)

[origin: EP4109392A1] This application discloses an image processing method and apparatus in the computer vision field of the artificial intelligence field. The image processing method includes: obtaining a channel image corresponding to a to-be-processed raw (raw) image, where the channel image includes at least two first channel images; performing image restoration processing on the first channel image to obtain the restored first channel image; and performing image restoration processing on the to-be-processed raw image based on the restored first channel image to obtain a raw image obtained through joint demosaicing and denoising processing. The technical solution of this application can improve image quality of the raw image obtained through joint demosaicing and denoising processing.

IPC 8 full level

G06T 5/00 (2006.01)

CPC (source: CN EP)

G06N 3/045 (2023.01 - CN); G06N 3/0464 (2023.01 - EP); G06N 3/084 (2013.01 - CN EP); G06T 3/4015 (2013.01 - CN EP); G06T 5/60 (2024.01 - EP); G06T 5/70 (2024.01 - CN EP); G06T 5/77 (2024.01 - CN); G06T 2207/10024 (2013.01 - EP); G06T 2207/20012 (2013.01 - EP); G06T 2207/20084 (2013.01 - EP)

Citation (search report)

  • [A] MICHAËL GHARBI ET AL: "Deep joint demosaicking and denoising", ACM TRANSACTIONS ON GRAPHICS, ACM, NY, US, vol. 35, no. 6, 11 November 2016 (2016-11-11), pages 1 - 12, XP058306363, ISSN: 0730-0301, DOI: 10.1145/2980179.2982399
  • [A] EHRET THIBAUD ET AL: "Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images", 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), IEEE, 27 October 2019 (2019-10-27), pages 8867 - 8876, XP033724059, DOI: 10.1109/ICCV.2019.00896
  • [A] AKIYAMA HIROKI ET AL: "Pseudo four-channel image denoising for noisy CFA raw data", 2015 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE, 27 September 2015 (2015-09-27), pages 4778 - 4782, XP032827336, DOI: 10.1109/ICIP.2015.7351714
  • [A] WEISHONG DONG ET AL: "Joint Demosaicing and Denoising with Perceptual Optimization on a Generative Adversarial Network", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 13 February 2018 (2018-02-13), XP081221622
  • [A] TAN HANLIN ET AL: "Joint demosaicing and denoising of noisy bayer images with ADMM", 2017 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), IEEE, 17 September 2017 (2017-09-17), pages 2951 - 2955, XP033323116, DOI: 10.1109/ICIP.2017.8296823
  • See also references of WO 2021164234A1

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

DOCDB simple family (publication)

EP 4109392 A1 20221228; EP 4109392 A4 20240103; CN 111402146 A 20200710; CN 111402146 B 20220510; WO 2021164234 A1 20210826

DOCDB simple family (application)

EP 20920655 A 20200831; CN 202010107896 A 20200221; CN 2020112619 W 20200831